Data & Analytics

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.

Performs comprehensive quality audits on machine learning training datasets, identifying data drift, label inconsistencies, distribution anomalies, and outlier patterns. Use when validating ML datasets, auditing data pipelines, or preparing datasets for model training.

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Predict query execution costs, resource consumption, and performance bottlenecks before running expensive database operations. Essential for capacity planning, cost optimization, and preventing production incidents.

Create effective data visualizations using best practices for clarity, accuracy, and visual communication of insights

Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.

Advanced QSAR/ADMET prediction toolkit for in-silico toxicity assessment. Provides molecular descriptor calculation, toxicity endpoint modeling, chemical hazard classification, and regulatory submission support for pharmaceutical and environmental toxicology research.

Complex Join Helper - Auto-activating skill for Data Analytics. Triggers on: complex join helper, complex join helper Part of the Data Analytics skill category.

Configure with complex join helper operations. Auto-activating skill for Data Analytics. Triggers on: complex join helper, complex join helper Part of the Data Analytics skill category. Use when working with complex join helper functionality. Trigger with phrases like "complex join helper", "complex helper", "complex".

Configure with complex join helper operations. Auto-activating skill for Data Analytics. Triggers on: complex join helper, complex join helper Part of the Data Analytics skill category. Use when working with complex join helper functionality. Trigger with phrases like "complex join helper", "complex helper", "complex".

Cohort Analysis Creator - Auto-activating skill for Data Analytics. Triggers on: cohort analysis creator, cohort analysis creator Part of the Data Analytics skill category.

Navigate clinical pharmacokinetics databases and FDA adverse event reports. Query drug metabolism, toxicity profiles, PK/PD parameters, and regulatory safety data for pharmaceutical research.

Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

This skill enables rigorous causal analysis of experimental and observational datasets. It identifies causal relationships, confounding variables, and treatment effects using state-of-the-art statistical methodologies. Activate this skill when investigating cause-and-effect relationships, evaluating intervention outcomes, or designing controlled experiments. Key triggers include "causal analysis," "treatment effect," "confounding," "counterfactual," and requests for experimental design valida...

Guide Claude through omicverse's bulk RNA-seq DEG pipeline, from gene ID mapping and DESeq2 normalization to statistical testing, visualization, and pathway enrichment. Use when a user has bulk count matrices and needs differential expression analysis in omicverse.

Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.

Use omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualisations.

Infer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime.

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields, Instructions for searching arXiv papers using Python script and shell tool. Read SKILL.md to learn the workflow.

This skill enables Claude to perform natural language processing and text analysis using the nlp-text-analyzer plugin. It should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or other NLP tasks. The skill is triggered by requests involving "analyze text", "sentiment analysis", "keyword extraction", "topic modeling", or similar phrases related to text processing. It leverages AI/ML techniques to understand and extract insight...